Mac16,12
Geekbench AI Score
8578
Single Precision Score
9727
Half Precision Score
8677
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andriyfedorov |
| Upload Date | April 27 2025 03:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
4101
762.6 IPS |
|
|
Image Classification (HP)
|
100% |
4284
796.8 IPS |
|
|
Image Classification (Q)
|
96% |
4069
759.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6253
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6604
107.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6356
103.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22789
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24215
28.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
23667
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
4261
338.0 IPS |
|
|
Object Detection (HP)
|
100% |
4712
373.7 IPS |
|
|
Object Detection (Q)
|
92% |
4298
343.1 IPS |
|
|
Face Detection (SP)
|
100% |
11800
140.2 IPS |
|
|
Face Detection (HP)
|
100% |
14287
169.8 IPS |
|
|
Face Detection (Q)
|
100% |
11643
138.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18806
144.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20406
157.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19235
150.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49934
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56048
72.0 IPS |
|
|
Style Transfer (Q)
|
96% |
54493
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9802
361.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10554
389.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9176
338.8 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5466
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5452
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2682
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1508
26.1 IPS |
