MacBook Pro (16-inch, 2021)
Geekbench AI Score
3684
Single Precision Score
14816
Half Precision Score
15404
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | November 21 2024 09:43 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
6471
1.20 KIPS |
|
|
Image Classification (Q)
|
99% |
7192
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8064
130.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
8102
131.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11300
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69482
81.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
66326
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
7244
576.2 IPS |
|
|
Object Detection (Q)
|
91% |
7120
568.9 IPS |
|
|
Face Detection (SP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
11549
137.2 IPS |
|
|
Face Detection (Q)
|
100% |
13536
160.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5728
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45373
349.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
49173
380.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21982
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
116413
149.7 IPS |
|
|
Style Transfer (Q)
|
100% |
121967
156.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4200
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26020
960.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27310
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3904
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3160
54.6 IPS |
