MacBook Pro (16-inch, 2021)
Geekbench AI Score
3724
Single Precision Score
5675
Half Precision Score
4899
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | owine |
| Upload Date | August 16 2024 02:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
1987
369.5 IPS |
|
|
Image Classification (Q)
|
99% |
2018
376.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2366
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11002
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22038
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16902
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2328
185.3 IPS |
|
|
Object Detection (Q)
|
94% |
1738
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5095
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3167
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5827
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10564
81.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
10585
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22174
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35026
45.0 IPS |
|
|
Style Transfer (Q)
|
100% |
34915
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6147
227.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3950
146.3 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3782
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3767
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3252
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3264
56.4 IPS |
