Mac16,10
Geekbench AI Score
4707
Single Precision Score
7776
Half Precision Score
6238
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | bouresup |
| Upload Date | October 17 2025 12:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| 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% |
2037
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
3305
614.7 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3135
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3577
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9662
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19147
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16515
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3746
298.3 IPS |
|
|
Object Detection (Q)
|
94% |
2684
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4064
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
7238
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
4299
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8457
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14415
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10107
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20879
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38255
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31820
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5947
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7227
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5495
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5201
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6863
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6814
117.8 IPS |
