Mac16,9
Geekbench AI Score
5551
Single Precision Score
9334
Half Precision Score
7149
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Metalnib |
| Upload Date | May 20 2025 03:03 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.5 IPS |
|
|
Image Classification (HP)
|
100% |
3099
576.4 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3980
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17972
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
33234
38.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
25178
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2619
207.7 IPS |
|
|
Object Detection (HP)
|
97% |
3933
313.1 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4894
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
8177
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
4768
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8845
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15368
118.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10557
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25252
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53755
69.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40805
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6073
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10155
375.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5788
213.7 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5346
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6114
105.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9182
158.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9241
159.7 IPS |
