Mac16,12
Geekbench AI Score
8829
Single Precision Score
10881
Half Precision Score
9720
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | August 15 2025 02:49 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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% |
4367
812.1 IPS |
|
|
Image Classification (HP)
|
100% |
4793
891.3 IPS |
|
|
Image Classification (Q)
|
96% |
4438
828.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7080
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7705
124.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7553
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
26762
31.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30838
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
30022
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4501
357.0 IPS |
|
|
Object Detection (HP)
|
100% |
5022
398.3 IPS |
|
|
Object Detection (Q)
|
92% |
4778
381.4 IPS |
|
|
Face Detection (SP)
|
100% |
12343
146.7 IPS |
|
|
Face Detection (HP)
|
100% |
16395
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
13239
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19726
152.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22101
170.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20238
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
54576
70.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66490
85.5 IPS |
|
|
Style Transfer (Q)
|
96% |
64173
82.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11188
413.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11462
423.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10117
373.6 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5638
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5566
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2613
45.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1618
28.0 IPS |
