MacBook Pro (16-inch, 2021)
Geekbench AI Score
9588
Single Precision Score
11009
Half Precision Score
10151
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | aangel |
| Upload Date | January 25 2025 07:34 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 2.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4718
877.3 IPS |
|
|
Image Classification (HP)
|
100% |
5168
961.0 IPS |
|
|
Image Classification (Q)
|
97% |
4392
819.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9266
150.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9770
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9916
160.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37666
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
43860
51.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
40710
47.7 IPS |
|
|
Object Detection (SP)
|
100% |
4056
321.8 IPS |
|
|
Object Detection (HP)
|
100% |
4009
318.0 IPS |
|
|
Object Detection (Q)
|
91% |
4541
362.9 IPS |
|
|
Face Detection (SP)
|
100% |
17981
213.7 IPS |
|
|
Face Detection (HP)
|
100% |
19466
231.3 IPS |
|
|
Face Detection (Q)
|
100% |
13626
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23860
183.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24780
190.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
21059
164.6 IPS |
|
|
Style Transfer (SP)
|
100% |
79958
102.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117083
150.5 IPS |
|
|
Style Transfer (Q)
|
96% |
102329
132.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15525
573.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16975
626.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14173
523.3 IPS |
|
|
Text Classification (SP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3550
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3646
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
951
16.4 IPS |
