MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4375
Single Precision Score
7426
Half Precision Score
5906
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | beret |
| Upload Date | April 09 2025 12:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.88 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
2413
448.7 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2756
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3235
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16225
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
28049
32.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
21675
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1895
150.3 IPS |
|
|
Object Detection (HP)
|
97% |
2830
225.3 IPS |
|
|
Object Detection (Q)
|
94% |
2123
169.2 IPS |
|
|
Face Detection (SP)
|
100% |
3804
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
6266
74.5 IPS |
|
|
Face Detection (Q)
|
100% |
3742
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7100
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12125
93.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8526
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30169
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
42983
55.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33618
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7839
289.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5062
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5061
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4881
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2245
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7461
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7467
129.0 IPS |
