MacBook Pro (16-inch, 2021)
Geekbench AI Score
3725
Single Precision Score
5727
Half Precision Score
4873
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | aenewton |
| Upload Date | August 24 2024 11:45 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
2032
377.8 IPS |
|
|
Image Classification (Q)
|
99% |
2029
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2331
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11100
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22539
26.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16595
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2357
187.7 IPS |
|
|
Object Detection (Q)
|
94% |
1742
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5375
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3169
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5922
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10947
84.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
10884
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22318
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34918
44.9 IPS |
|
|
Style Transfer (Q)
|
100% |
34993
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6167
227.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3968
147.0 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3735
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3685
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3176
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3133
54.1 IPS |
