Mac16,12
Geekbench AI Score
7176
Single Precision Score
8436
Half Precision Score
7369
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | XiaoliMEMZ |
| Upload Date | August 16 2025 04:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C2101) |
| 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% |
3940
732.8 IPS |
|
|
Image Classification (HP)
|
100% |
4193
779.9 IPS |
|
|
Image Classification (Q)
|
97% |
3628
677.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4292
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5657
91.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5832
94.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22187
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
23529
27.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
22499
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
4230
335.5 IPS |
|
|
Object Detection (HP)
|
100% |
4603
365.1 IPS |
|
|
Object Detection (Q)
|
91% |
3896
311.3 IPS |
|
|
Face Detection (SP)
|
100% |
11513
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
13956
165.8 IPS |
|
|
Face Detection (Q)
|
100% |
10107
120.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18146
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19782
152.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
16951
132.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48046
61.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54585
70.2 IPS |
|
|
Style Transfer (Q)
|
96% |
51228
66.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9540
352.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10303
380.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8176
301.9 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5521
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
648
11.2 IPS |
