Mac16,13
Geekbench AI Score
4870
Single Precision Score
7893
Half Precision Score
6297
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daveyappleseed |
| Upload Date | September 27 2025 10:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
3366
625.9 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3112
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3478
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10072
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19419
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16192
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2372
188.2 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2459
196.0 IPS |
|
|
Face Detection (SP)
|
100% |
4086
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
7208
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
4347
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8256
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13886
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9752
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24331
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38731
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31539
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6086
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7145
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4981
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3323
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5702
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5754
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4534
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7826
135.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7950
137.4 IPS |
