Mac16,13
Geekbench AI Score
4927
Single Precision Score
8044
Half Precision Score
6413
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 04:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3348
622.6 IPS |
|
|
Image Classification (Q)
|
96% |
2298
429.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3191
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3479
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9966
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19495
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16611
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (HP)
|
97% |
3823
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
4220
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7667
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4397
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8466
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13993
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9849
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24240
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38677
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31771
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6039
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7214
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5020
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5921
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5828
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4513
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8045
139.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8187
141.5 IPS |
