Mac16,9
Geekbench AI Score
6026
Single Precision Score
9585
Half Precision Score
7333
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | oiskin |
| Upload Date | October 09 2025 05:53 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2197
408.6 IPS |
|
|
Image Classification (HP)
|
100% |
3010
559.7 IPS |
|
|
Image Classification (Q)
|
96% |
2215
413.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3508
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3975
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18410
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34939
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
27292
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2716
215.5 IPS |
|
|
Object Detection (HP)
|
97% |
3953
314.7 IPS |
|
|
Object Detection (Q)
|
94% |
2804
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
5339
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
8787
104.4 IPS |
|
|
Face Detection (Q)
|
100% |
4885
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9034
69.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15620
120.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9876
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31541
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
58445
75.1 IPS |
|
|
Style Transfer (Q)
|
96% |
43951
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7133
263.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9674
357.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5489
202.7 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5776
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5783
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
6665
114.8 IPS |
|
|
Machine Translation (HP)
|
98% |
10019
173.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9921
171.4 IPS |
