Mac16,12
Geekbench AI Score
4810
Single Precision Score
37245
Half Precision Score
52369
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 15 2025 08:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2096
389.9 IPS |
|
|
Image Classification (HP)
|
100% |
18243
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
26464
4.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22018
356.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29512
478.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9933
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
121424
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231396
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
19299
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26485
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4193
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
44096
524.0 IPS |
|
|
Face Detection (Q)
|
100% |
63645
756.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8625
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100605
775.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
169889
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21527
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
231834
298.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297548
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50559
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85570
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6290
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4369
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16686
287.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18357
317.2 IPS |
