Mac16,12
Geekbench AI Score
4829
Single Precision Score
7914
Half Precision Score
6346
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 07:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| 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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3329
619.2 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3155
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3590
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9974
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19468
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16654
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.7 IPS |
|
|
Object Detection (HP)
|
97% |
3793
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2685
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
4226
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7625
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
4354
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8598
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14574
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10192
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21492
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38501
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31722
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6123
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7156
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5067
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5527
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4442
76.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7347
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7186
124.2 IPS |
