MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4714
Single Precision Score
7681
Half Precision Score
6083
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 08:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.03 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1494
277.9 IPS |
|
|
Image Classification (HP)
|
100% |
2448
455.2 IPS |
|
|
Image Classification (Q)
|
96% |
1848
345.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15928
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29758
34.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
22790
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
1873
148.5 IPS |
|
|
Object Detection (HP)
|
97% |
2916
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2167
172.7 IPS |
|
|
Face Detection (SP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
6686
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3954
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7037
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13015
100.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8583
67.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30609
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
46430
59.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36020
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5715
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7780
287.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4782
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5087
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5089
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4590
79.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7623
131.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7649
132.2 IPS |
