MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4785
Single Precision Score
7622
Half Precision Score
6030
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ericzhao |
| Upload Date | July 07 2025 08:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.77 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1529
284.3 IPS |
|
|
Image Classification (HP)
|
100% |
2443
454.3 IPS |
|
|
Image Classification (Q)
|
96% |
1830
341.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3285
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16597
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28178
32.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
21418
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
1909
151.4 IPS |
|
|
Object Detection (HP)
|
97% |
2847
226.7 IPS |
|
|
Object Detection (Q)
|
94% |
2127
169.5 IPS |
|
|
Face Detection (SP)
|
100% |
3894
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
6399
76.0 IPS |
|
|
Face Detection (Q)
|
100% |
3834
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7112
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12727
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8912
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30526
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
44720
57.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33645
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5974
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7981
294.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5133
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5248
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4686
80.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7454
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7499
129.6 IPS |
