Mac16,9
Geekbench AI Score
23649
Single Precision Score
26197
Half Precision Score
24367
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ioanton |
| Upload Date | May 31 2025 10:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
10619
1.97 KIPS |
|
|
Image Classification (HP)
|
100% |
10780
2.00 KIPS |
|
|
Image Classification (Q)
|
96% |
9752
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23748
385.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24308
394.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23288
377.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
106245
124.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
108664
126.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
105333
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
8895
705.5 IPS |
|
|
Object Detection (HP)
|
100% |
10351
821.1 IPS |
|
|
Object Detection (Q)
|
92% |
10066
803.5 IPS |
|
|
Face Detection (SP)
|
100% |
38379
456.0 IPS |
|
|
Face Detection (HP)
|
100% |
41086
488.2 IPS |
|
|
Face Detection (Q)
|
100% |
32132
381.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45695
352.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48192
371.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
43980
343.5 IPS |
|
|
Style Transfer (SP)
|
100% |
222284
285.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233832
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
224486
289.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31029
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31560
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27353
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5393
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5404
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6439
110.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6557
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6537
113.0 IPS |
