Mac16,12
Geekbench AI Score
5988
Single Precision Score
7342
Half Precision Score
6712
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | July 09 2025 08:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1915
356.2 IPS |
|
|
Image Classification (HP)
|
100% |
2294
426.6 IPS |
|
|
Image Classification (Q)
|
96% |
2052
383.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5749
93.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5221
84.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5594
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24272
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25705
30.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27573
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2149
170.5 IPS |
|
|
Object Detection (HP)
|
100% |
3494
277.2 IPS |
|
|
Object Detection (Q)
|
92% |
2527
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
7961
94.6 IPS |
|
|
Face Detection (HP)
|
100% |
10917
129.7 IPS |
|
|
Face Detection (Q)
|
100% |
9584
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11094
85.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15363
118.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14766
115.3 IPS |
|
|
Style Transfer (SP)
|
100% |
45563
58.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48415
62.2 IPS |
|
|
Style Transfer (Q)
|
96% |
46262
59.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8274
305.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8643
319.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7010
258.9 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5073
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5005
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1011
17.5 IPS |
