Mac16,9
Geekbench AI Score
5974
Single Precision Score
9182
Half Precision Score
7031
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | everestsky |
| Upload Date | June 14 2025 06:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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% |
2138
397.7 IPS |
|
|
Image Classification (HP)
|
100% |
3068
570.6 IPS |
|
|
Image Classification (Q)
|
96% |
2197
410.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2574
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3960
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19207
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32136
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
25036
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2585
205.0 IPS |
|
|
Object Detection (HP)
|
97% |
3884
309.2 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4796
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8205
97.5 IPS |
|
|
Face Detection (Q)
|
100% |
4777
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9164
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15132
117.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10406
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
37379
48.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53041
68.2 IPS |
|
|
Style Transfer (Q)
|
96% |
40124
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7210
266.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9631
355.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5273
194.7 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5378
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5323
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6034
103.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8991
155.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8992
155.4 IPS |
