Mac16,13
Geekbench AI Score
8772
Single Precision Score
10403
Half Precision Score
9776
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 11 2025 06:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4328
804.8 IPS |
|
|
Image Classification (HP)
|
100% |
4762
885.6 IPS |
|
|
Image Classification (Q)
|
96% |
4498
840.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7019
113.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7786
126.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7570
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27483
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29738
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
28998
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
4530
359.4 IPS |
|
|
Object Detection (HP)
|
100% |
5134
407.2 IPS |
|
|
Object Detection (Q)
|
92% |
4735
377.9 IPS |
|
|
Face Detection (SP)
|
100% |
12560
149.2 IPS |
|
|
Face Detection (HP)
|
100% |
15834
188.1 IPS |
|
|
Face Detection (Q)
|
100% |
13186
156.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20218
155.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22279
171.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20438
159.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56154
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66148
85.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64362
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11681
431.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12655
467.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10880
401.7 IPS |
|
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5436
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5589
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1617
27.9 IPS |
