MacBook Pro (16-inch, 2021)
Geekbench AI Score
2706
Single Precision Score
4144
Half Precision Score
3479
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jazzbrat |
| Upload Date | August 16 2024 07:42 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
1595
296.5 IPS |
|
|
Image Classification (Q)
|
99% |
1583
295.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1174
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5577
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
12963
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11126
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.2 IPS |
|
|
Object Detection (HP)
|
97% |
1874
149.2 IPS |
|
|
Object Detection (Q)
|
94% |
1452
115.7 IPS |
|
|
Face Detection (SP)
|
100% |
2490
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
3846
45.7 IPS |
|
|
Face Detection (Q)
|
100% |
2535
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4956
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7766
60.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3894
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14621
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23546
30.3 IPS |
|
|
Style Transfer (Q)
|
100% |
23550
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3289
121.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3263
120.9 IPS |
|
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3651
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3646
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1438
24.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3111
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3131
54.1 IPS |
