Mac16,9
Geekbench AI Score
5615
Single Precision Score
9267
Half Precision Score
7096
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ioanton |
| Upload Date | May 19 2025 08:14 PM |
| Views | 6 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
3102
576.9 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3557
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3953
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18226
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32542
38.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24998
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
97% |
3870
308.1 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4953
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
8075
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
4717
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8873
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15204
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10484
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26315
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53161
68.3 IPS |
|
|
Style Transfer (Q)
|
96% |
40227
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10194
376.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5482
202.4 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5402
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5338
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6219
107.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9355
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9469
163.6 IPS |
