Mac16,9
Geekbench AI Score
5633
Single Precision Score
9399
Half Precision Score
7233
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 08:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
3122
580.5 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3646
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3967
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18265
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33100
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25413
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
97% |
3896
310.2 IPS |
|
|
Object Detection (Q)
|
94% |
2721
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
4988
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
8336
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
4807
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8875
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15494
119.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10839
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25958
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54575
70.2 IPS |
|
|
Style Transfer (Q)
|
96% |
41775
53.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6130
226.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10285
379.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5933
219.1 IPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5446
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5428
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6308
108.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9285
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9258
160.0 IPS |
