Mac16,13
Geekbench AI Score
4824
Single Precision Score
7882
Half Precision Score
6318
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 07:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
3339
620.9 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3239
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3589
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10014
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19459
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16663
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
97% |
3787
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4198
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7378
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4367
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8571
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14568
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10189
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21680
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38587
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31712
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6118
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7164
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5047
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
3014
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4390
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7084
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7034
121.6 IPS |
