Mac16,13
Geekbench AI Score
4812
Single Precision Score
7886
Half Precision Score
6312
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 09:51 AM |
| Views | 5 |
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% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
3316
616.6 IPS |
|
|
Image Classification (Q)
|
96% |
2304
430.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3148
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3575
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9962
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19368
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16624
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
4194
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
7614
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4402
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8578
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14559
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10150
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21608
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38583
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31614
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6111
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7271
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5628
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5427
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4362
75.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7002
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7064
122.1 IPS |
