MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4711
Single Precision Score
7593
Half Precision Score
5997
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gigaouch |
| Upload Date | June 06 2025 03:41 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 (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
281.9 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (Q)
|
96% |
1784
333.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2689
43.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3216
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16640
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28245
33.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
21755
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1900
150.7 IPS |
|
|
Object Detection (HP)
|
97% |
2834
225.6 IPS |
|
|
Object Detection (Q)
|
94% |
2129
169.7 IPS |
|
|
Face Detection (SP)
|
100% |
3845
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
6369
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
3786
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7134
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12757
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9094
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30274
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43843
56.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33775
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5921
218.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8263
305.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5133
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
2862
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5665
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5028
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4415
76.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7514
129.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7548
130.4 IPS |
