Mac16,13
Geekbench AI Score
4812
Single Precision Score
36664
Half Precision Score
51057
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 19 2025 12:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
17308
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
25673
4.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22065
357.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30284
490.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9986
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122560
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231756
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
100% |
18595
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25947
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4187
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
43946
522.2 IPS |
|
|
Face Detection (Q)
|
100% |
63420
753.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8630
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98996
762.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
166872
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21458
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233459
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296699
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6113
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49700
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82766
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2918
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6028
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5426
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4409
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16576
285.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18260
315.6 IPS |
