Mac16,12
Geekbench AI Score
9433
Single Precision Score
10985
Half Precision Score
10439
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Torris |
| Upload Date | July 31 2025 11:53 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
4362
811.1 IPS |
|
|
Image Classification (HP)
|
100% |
4767
886.5 IPS |
|
|
Image Classification (Q)
|
96% |
4471
835.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7099
115.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7673
124.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7568
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27355
31.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
29742
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29407
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4528
359.2 IPS |
|
|
Object Detection (HP)
|
100% |
5138
407.6 IPS |
|
|
Object Detection (Q)
|
92% |
4728
377.4 IPS |
|
|
Face Detection (SP)
|
100% |
12793
152.0 IPS |
|
|
Face Detection (HP)
|
100% |
15946
189.5 IPS |
|
|
Face Detection (Q)
|
100% |
13399
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20249
156.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21876
168.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20004
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56618
72.8 IPS |
|
|
Style Transfer (HP)
|
100% |
65697
84.5 IPS |
|
|
Style Transfer (Q)
|
96% |
63915
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11452
422.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11463
423.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10297
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5325
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5378
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2929
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3446
59.5 IPS |
