Mac16,9
Geekbench AI Score
5622
Single Precision Score
9305
Half Precision Score
7164
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 21 2025 02:56 AM |
| Views | 2 |
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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2125
395.1 IPS |
|
|
Image Classification (HP)
|
100% |
3093
575.2 IPS |
|
|
Image Classification (Q)
|
96% |
2217
413.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3671
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3966
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18353
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33142
38.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
25022
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.3 IPS |
|
|
Object Detection (HP)
|
97% |
3887
309.5 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
4927
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
8189
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
4726
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8878
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15016
116.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10526
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26271
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52894
68.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40711
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6062
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10240
378.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5945
219.5 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5407
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5361
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6289
108.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9246
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9273
160.3 IPS |
