MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4680
Single Precision Score
7653
Half Precision Score
6396
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 22 2025 11:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 4.06 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1490
277.1 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.7 IPS |
|
|
Image Classification (Q)
|
99% |
2463
459.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2723
44.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2712
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15684
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29788
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
22112
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
1879
149.0 IPS |
|
|
Object Detection (HP)
|
97% |
2883
229.5 IPS |
|
|
Object Detection (Q)
|
94% |
2187
174.3 IPS |
|
|
Face Detection (SP)
|
100% |
4004
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
6726
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3945
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7027
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12946
100.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
12939
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30705
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
46290
59.5 IPS |
|
|
Style Transfer (Q)
|
100% |
45749
58.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5618
207.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7510
277.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3976
147.3 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
99% |
5050
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4978
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7641
132.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7675
132.6 IPS |
