MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4763
Single Precision Score
7305
Half Precision Score
5898
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 18 2025 06:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1506
280.1 IPS |
|
|
Image Classification (HP)
|
100% |
2413
448.7 IPS |
|
|
Image Classification (Q)
|
96% |
1817
339.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2660
43.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3309
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16279
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
28529
33.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21291
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (HP)
|
97% |
2771
220.6 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
6438
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
3833
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7017
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12228
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8561
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30247
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43259
55.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33099
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5651
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7739
285.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5093
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4970
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4659
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4693
80.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6518
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7305
126.2 IPS |
