MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4446
Single Precision Score
7644
Half Precision Score
6079
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | chelozzz |
| Upload Date | September 02 2025 05:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1551
288.5 IPS |
|
|
Image Classification (HP)
|
100% |
2478
460.8 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2728
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3266
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16592
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27967
32.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
21580
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (HP)
|
97% |
2944
234.4 IPS |
|
|
Object Detection (Q)
|
94% |
2175
173.4 IPS |
|
|
Face Detection (SP)
|
100% |
4081
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
6481
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
3820
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7415
57.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12852
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8803
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30655
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
42369
54.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33831
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5889
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8066
297.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5177
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
3105
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5652
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1915
33.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7607
131.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7631
131.9 IPS |
