Mac16,12
Geekbench AI Score
4875
Single Precision Score
36409
Half Precision Score
51023
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 15 2025 11:47 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
2095
389.6 IPS |
|
|
Image Classification (HP)
|
100% |
17552
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
23753
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21150
342.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
28829
467.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10021
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122254
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232098
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
18177
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25612
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4377
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
44090
523.9 IPS |
|
|
Face Detection (Q)
|
100% |
63505
754.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8731
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100032
770.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167731
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21685
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234397
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296327
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6145
226.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49589
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83328
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6017
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6100
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4396
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16088
277.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18311
316.4 IPS |
