MacBook Pro (16-inch, 2021) OS 15.3.1 SAFE Neural Feb 12 25 MacBook Pro (16-inch, 2021)
Geekbench AI Score
3737
Single Precision Score
16349
Half Precision Score
16279
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | fabrizioooOH |
| Upload Date | February 12 2025 12:07 PM |
| Views | 8 |
| Notes | Safari & GB on, Finder & BT OFF. One notification from iPhone during run |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1353
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
6694
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
6519
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9699
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10311
167.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11074
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70183
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66198
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
99% |
7898
628.3 IPS |
|
|
Object Detection (Q)
|
91% |
7441
594.6 IPS |
|
|
Face Detection (SP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
15922
189.2 IPS |
|
|
Face Detection (Q)
|
100% |
14825
176.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5911
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51158
394.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53312
416.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22368
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120441
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116429
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4336
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26232
968.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28346
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3937
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3858
66.7 IPS |
