Mac16,12
Geekbench AI Score
8861
Single Precision Score
10841
Half Precision Score
9726
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | October 16 2025 12:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4385
815.4 IPS |
|
|
Image Classification (HP)
|
100% |
4781
889.0 IPS |
|
|
Image Classification (Q)
|
96% |
4490
838.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7121
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7646
123.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7514
121.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27749
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29713
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29406
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4565
362.1 IPS |
|
|
Object Detection (HP)
|
100% |
5383
427.0 IPS |
|
|
Object Detection (Q)
|
92% |
4792
382.5 IPS |
|
|
Face Detection (SP)
|
100% |
12827
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
15798
187.7 IPS |
|
|
Face Detection (Q)
|
100% |
13434
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20423
157.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21988
169.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20135
157.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56622
72.8 IPS |
|
|
Style Transfer (HP)
|
100% |
65623
84.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64481
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11772
434.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11449
422.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10297
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5467
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5426
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1483
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2688
46.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1635
28.3 IPS |
