MacBook Pro (16-inch, 2021)
Geekbench AI Score
3592
Single Precision Score
5732
Half Precision Score
4615
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | andrewtch |
| Upload Date | March 12 2025 09:06 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1200
223.3 IPS |
|
|
Image Classification (HP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (Q)
|
96% |
1472
275.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2666
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10953
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21062
24.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16415
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
97% |
2298
183.0 IPS |
|
|
Object Detection (Q)
|
94% |
1707
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5404
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3029
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5646
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10897
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7156
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21282
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33904
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24337
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4100
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6110
225.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3939
145.5 IPS |
|
|
Text Classification (SP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3795
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3954
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3622
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4853
83.9 IPS |
