MacBook Pro (16-inch, 2023)
Geekbench AI Score
4105
Single Precision Score
6611
Half Precision Score
5279
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | SojW |
| Upload Date | June 03 2025 10:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.56 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2267
421.6 IPS |
|
|
Image Classification (Q)
|
96% |
1679
313.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2897
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12994
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
25373
29.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
19790
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
97% |
2644
210.5 IPS |
|
|
Object Detection (Q)
|
94% |
1992
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5766
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3321
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6151
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11445
88.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7933
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24698
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38204
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30381
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5062
186.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6372
235.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4343
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4134
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4051
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4289
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6264
108.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6235
107.7 IPS |
