MacBook Pro (16-inch, 2021)
Geekbench AI Score
3659
Single Precision Score
5689
Half Precision Score
4680
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 28 2025 09:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
2018
375.3 IPS |
|
|
Image Classification (Q)
|
96% |
1458
272.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2583
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10525
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22390
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17422
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2286
182.0 IPS |
|
|
Object Detection (Q)
|
94% |
1682
134.0 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5263
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
2883
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5745
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10368
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7320
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22171
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35520
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27371
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4359
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6239
230.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4035
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3210
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4904
84.7 IPS |
