Mac16,12
Geekbench AI Score
9164
Single Precision Score
10779
Half Precision Score
9827
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 12 2025 07:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.16 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4548
845.9 IPS |
|
|
Image Classification (HP)
|
100% |
4971
924.4 IPS |
|
|
Image Classification (Q)
|
96% |
4596
858.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6998
113.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7678
124.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7620
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27464
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
29769
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29503
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4649
368.8 IPS |
|
|
Object Detection (HP)
|
100% |
5231
414.9 IPS |
|
|
Object Detection (Q)
|
92% |
4762
380.1 IPS |
|
|
Face Detection (SP)
|
100% |
12254
145.6 IPS |
|
|
Face Detection (HP)
|
100% |
16377
194.6 IPS |
|
|
Face Detection (Q)
|
100% |
12175
144.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20576
158.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22081
170.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20424
159.5 IPS |
|
|
Style Transfer (SP)
|
100% |
54536
70.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66171
85.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63639
82.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11958
441.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11966
441.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10616
392.0 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5616
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5570
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2054
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1825
31.5 IPS |
