Mac16,12
Geekbench AI Score
8925
Single Precision Score
10340
Half Precision Score
10241
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | computer_lover |
| Upload Date | September 20 2025 01:15 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4453
828.2 IPS |
|
|
Image Classification (HP)
|
100% |
4852
902.3 IPS |
|
|
Image Classification (Q)
|
96% |
4492
838.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7150
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7724
125.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7591
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27770
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29728
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29368
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4543
360.3 IPS |
|
|
Object Detection (HP)
|
100% |
5187
411.4 IPS |
|
|
Object Detection (Q)
|
92% |
4775
381.1 IPS |
|
|
Face Detection (SP)
|
100% |
12835
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
15899
188.9 IPS |
|
|
Face Detection (Q)
|
100% |
13356
158.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20304
156.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21918
168.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20226
158.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56654
72.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66206
85.1 IPS |
|
|
Style Transfer (Q)
|
96% |
64548
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11897
439.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11516
425.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10373
383.0 IPS |
|
|
Text Classification (SP)
|
100% |
3069
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5649
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5453
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1611
27.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2693
46.5 IPS |
