Mac16,13
Geekbench AI Score
4709
Single Precision Score
7756
Half Precision Score
6244
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jacofaco |
| Upload Date | June 28 2025 03:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
3277
609.4 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3160
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3580
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9955
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19090
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16487
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.2 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
3873
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7226
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4289
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8273
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14576
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10118
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25189
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38171
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31478
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5889
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6904
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4854
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5431
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5455
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3965
68.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6990
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6925
119.7 IPS |
