MacBook Pro (16-inch, 2023)
Geekbench AI Score
4205
Single Precision Score
6718
Half Precision Score
5315
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Rhein080 |
| Upload Date | January 27 2025 06:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2252
418.8 IPS |
|
|
Image Classification (Q)
|
96% |
1652
308.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2981
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12910
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25148
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19621
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (HP)
|
97% |
2712
215.9 IPS |
|
|
Object Detection (Q)
|
94% |
2015
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
5832
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
3417
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6436
49.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12038
93.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8168
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24971
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38249
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29514
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5101
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6978
257.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4463
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4596
79.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6310
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6365
110.0 IPS |
