MacBook Pro (16-inch, 2021)
Geekbench AI Score
3789
Single Precision Score
16647
Half Precision Score
16493
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 04:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
7028
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6681
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9744
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10407
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10993
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
71723
83.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67816
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
99% |
7957
632.9 IPS |
|
|
Object Detection (Q)
|
91% |
7396
591.0 IPS |
|
|
Face Detection (SP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
15086
179.3 IPS |
|
|
Face Detection (Q)
|
100% |
14300
169.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5900
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
52170
401.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53766
420.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22426
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121153
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
117235
151.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4421
163.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26364
973.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28260
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4006
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4048
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4187
72.4 IPS |
