MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4762
Single Precision Score
7441
Half Precision Score
5982
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | fug-mann |
| Upload Date | March 08 2025 09:06 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1507
280.3 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.2 IPS |
|
|
Image Classification (Q)
|
96% |
1808
337.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2667
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3405
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16765
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28667
33.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21703
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.3 IPS |
|
|
Object Detection (HP)
|
97% |
2934
233.6 IPS |
|
|
Object Detection (Q)
|
94% |
2181
173.8 IPS |
|
|
Face Detection (SP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
6651
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3934
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7334
56.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13119
101.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9210
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30803
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43400
55.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34069
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5802
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7688
283.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5076
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4759
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4645
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6925
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6930
119.8 IPS |
