Mac16,13
Geekbench AI Score
9129
Single Precision Score
10508
Half Precision Score
10237
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mrguppy |
| Upload Date | October 09 2025 07:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
4539
844.2 IPS |
|
|
Image Classification (HP)
|
100% |
4758
884.8 IPS |
|
|
Image Classification (Q)
|
96% |
4440
829.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7143
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7703
124.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7617
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27818
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29738
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29444
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4587
363.8 IPS |
|
|
Object Detection (HP)
|
100% |
5173
410.4 IPS |
|
|
Object Detection (Q)
|
92% |
4766
380.4 IPS |
|
|
Face Detection (SP)
|
100% |
12507
148.6 IPS |
|
|
Face Detection (HP)
|
100% |
16336
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
13253
157.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20581
158.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
21993
169.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20295
158.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55842
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66563
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64644
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11784
435.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11684
431.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10366
382.8 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5399
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5397
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2740
47.3 IPS |
