Mac16,10
Geekbench AI Score
9817
Single Precision Score
11513
Half Precision Score
10793
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 10:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4698
873.7 IPS |
|
|
Image Classification (HP)
|
100% |
4998
929.5 IPS |
|
|
Image Classification (Q)
|
96% |
4689
875.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7624
123.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8026
130.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7948
128.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29548
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31739
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31310
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
4839
383.8 IPS |
|
|
Object Detection (HP)
|
100% |
5424
430.2 IPS |
|
|
Object Detection (Q)
|
92% |
4989
398.2 IPS |
|
|
Face Detection (SP)
|
100% |
12425
147.6 IPS |
|
|
Face Detection (HP)
|
100% |
16218
192.7 IPS |
|
|
Face Detection (Q)
|
100% |
13364
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21592
166.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22998
177.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
21206
165.6 IPS |
|
|
Style Transfer (SP)
|
100% |
60710
78.0 IPS |
|
|
Style Transfer (HP)
|
100% |
70874
91.1 IPS |
|
|
Style Transfer (Q)
|
96% |
69222
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12449
459.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12381
457.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10779
398.0 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5481
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2753
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3304
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3161
54.6 IPS |
