Mac16,13
Geekbench AI Score
4963
Single Precision Score
7971
Half Precision Score
6434
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 26 2025 06:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.7 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3174
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3572
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9989
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19287
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16654
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2739
218.3 IPS |
|
|
Face Detection (SP)
|
100% |
4285
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7768
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4537
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8573
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14084
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9983
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24296
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38938
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32036
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6042
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7074
261.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3354
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5611
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4518
77.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7884
136.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7897
136.5 IPS |
