Mac16,12
Geekbench AI Score
9004
Single Precision Score
11107
Half Precision Score
9802
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | oldnick |
| Upload Date | July 13 2025 02:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4424
822.7 IPS |
|
|
Image Classification (HP)
|
100% |
4828
897.9 IPS |
|
|
Image Classification (Q)
|
96% |
4577
854.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7079
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7682
124.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7610
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27647
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29745
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29437
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4556
361.4 IPS |
|
|
Object Detection (HP)
|
100% |
5185
411.3 IPS |
|
|
Object Detection (Q)
|
92% |
4798
383.0 IPS |
|
|
Face Detection (SP)
|
100% |
12591
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
16468
195.7 IPS |
|
|
Face Detection (Q)
|
100% |
13289
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20386
157.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22105
170.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20220
157.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56453
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
65667
84.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63995
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11935
440.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11514
425.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10509
388.0 IPS |
|
|
Text Classification (SP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5618
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1706
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1640
28.3 IPS |
