MacBook Pro (16-inch, 2021)
Geekbench AI Score
3659
Single Precision Score
5696
Half Precision Score
4683
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | pep_one |
| Upload Date | February 15 2025 01:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
1994
370.8 IPS |
|
|
Image Classification (Q)
|
96% |
1456
271.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10733
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21917
25.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17477
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2298
182.9 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
3176
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5591
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10857
83.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7111
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22316
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34516
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25128
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4349
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6176
228.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4049
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3987
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3929
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3518
60.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4886
84.4 IPS |
