Mac16,13
Geekbench AI Score
9119
Single Precision Score
10944
Half Precision Score
10563
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 07:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
4529
842.2 IPS |
|
|
Image Classification (HP)
|
100% |
4991
928.2 IPS |
|
|
Image Classification (Q)
|
96% |
4403
822.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7165
116.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7930
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7645
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27200
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30981
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30139
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4647
368.6 IPS |
|
|
Object Detection (HP)
|
100% |
5176
410.6 IPS |
|
|
Object Detection (Q)
|
92% |
4774
381.0 IPS |
|
|
Face Detection (SP)
|
100% |
12754
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16873
200.5 IPS |
|
|
Face Detection (Q)
|
100% |
13530
160.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20053
154.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22183
170.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20395
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55667
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67761
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
65502
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11338
418.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11677
431.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10265
379.1 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5734
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5702
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2287
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3375
58.3 IPS |
