Mac16,13
Geekbench AI Score
4346
Single Precision Score
7239
Half Precision Score
5832
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 28 2025 06:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1947
362.1 IPS |
|
|
Image Classification (HP)
|
100% |
3214
597.7 IPS |
|
|
Image Classification (Q)
|
96% |
2089
390.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3287
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8546
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
18301
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15738
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.8 IPS |
|
|
Object Detection (HP)
|
97% |
3479
277.0 IPS |
|
|
Object Detection (Q)
|
94% |
2521
200.9 IPS |
|
|
Face Detection (SP)
|
100% |
3472
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6308
75.0 IPS |
|
|
Face Detection (Q)
|
100% |
3940
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7610
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13230
102.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9354
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18696
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37229
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30437
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5437
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6501
240.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4845
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5869
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5756
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3901
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5547
95.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5342
92.3 IPS |
