Mac16,12
Geekbench AI Score
4871
Single Precision Score
36300
Half Precision Score
50953
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | August 08 2025 03:47 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
17298
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24509
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22345
362.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30403
492.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10004
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122778
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232105
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
18050
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25848
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4200
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
42862
509.3 IPS |
|
|
Face Detection (Q)
|
100% |
59600
708.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8437
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99150
763.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
165526
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23834
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232929
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
321704
415.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6023
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51305
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83690
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5533
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5470
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4514
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16506
284.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18160
313.8 IPS |
