MacBook Pro (16-inch, 2023)
Geekbench AI Score
4194
Single Precision Score
6764
Half Precision Score
5359
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kngo |
| Upload Date | January 25 2025 12:36 AM |
| Views | 3 |
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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2283
424.6 IPS |
|
|
Image Classification (Q)
|
96% |
1708
318.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2651
43.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3024
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12971
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24962
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19505
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
97% |
2721
216.6 IPS |
|
|
Object Detection (Q)
|
94% |
2036
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
5952
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3556
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6439
49.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12188
94.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8218
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24967
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38305
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29427
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5101
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6988
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4457
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3974
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4625
79.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6273
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6262
108.2 IPS |
