MacBook Pro (16-inch, 2021) OS 15.3.1 SAFE GPU 1-12-25 MacBook Pro (16-inch, 2021)
Geekbench AI Score
8506
Single Precision Score
9387
Half Precision Score
8268
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | fabrizioooOH |
| Upload Date | February 12 2025 12:03 PM |
| Views | 15 |
| Notes | Only Safari & GB running Finder & BT OFF |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4049
753.0 IPS |
|
|
Image Classification (HP)
|
100% |
4043
751.9 IPS |
|
|
Image Classification (Q)
|
97% |
3471
647.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6286
101.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6503
105.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6428
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32901
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34870
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32374
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3938
312.3 IPS |
|
|
Object Detection (HP)
|
100% |
4135
328.0 IPS |
|
|
Object Detection (Q)
|
91% |
3428
273.9 IPS |
|
|
Face Detection (SP)
|
100% |
13881
164.9 IPS |
|
|
Face Detection (HP)
|
100% |
14590
173.4 IPS |
|
|
Face Detection (Q)
|
100% |
10488
124.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19780
152.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20661
159.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17425
136.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53872
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63835
82.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59907
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10830
399.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11352
419.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8868
327.5 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3887
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1599
27.6 IPS |
