Mac16,9
Geekbench AI Score
23159
Single Precision Score
25834
Half Precision Score
24041
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | DVB |
| Upload Date | May 13 2025 01:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
10050
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
10213
1.90 KIPS |
|
|
Image Classification (Q)
|
96% |
9287
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22885
371.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23717
384.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22559
365.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
105941
123.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
108660
126.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
105378
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
8590
681.4 IPS |
|
|
Object Detection (HP)
|
100% |
9935
788.0 IPS |
|
|
Object Detection (Q)
|
92% |
9299
742.2 IPS |
|
|
Face Detection (SP)
|
100% |
39957
474.8 IPS |
|
|
Face Detection (HP)
|
100% |
42258
502.1 IPS |
|
|
Face Detection (Q)
|
100% |
34867
414.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
44580
343.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47127
363.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
43261
338.3 IPS |
|
|
Style Transfer (SP)
|
100% |
218554
281.0 IPS |
|
|
Style Transfer (HP)
|
100% |
235260
302.4 IPS |
|
|
Style Transfer (Q)
|
96% |
224905
290.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29579
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31051
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27026
998.0 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5298
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
6269
108.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6365
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6469
111.8 IPS |
