MacBook Pro (M4) Mac16,5
Geekbench AI Score
6001
Single Precision Score
9202
Half Precision Score
7087
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 15 2024 07:24 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2175
404.5 IPS |
|
|
Image Classification (HP)
|
100% |
3087
574.0 IPS |
|
|
Image Classification (Q)
|
96% |
2211
412.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2579
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3609
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3946
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19268
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32490
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24979
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
97% |
3911
311.3 IPS |
|
|
Object Detection (Q)
|
94% |
2721
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
4816
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8112
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
4750
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8912
68.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15139
117.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10608
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37194
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53399
68.6 IPS |
|
|
Style Transfer (Q)
|
96% |
40068
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7277
268.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9693
357.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5450
201.3 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5404
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5402
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6142
105.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8960
154.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9074
156.8 IPS |
