Mac16,12
Geekbench AI Score
4935
Single Precision Score
36409
Half Precision Score
51081
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 28 2025 10:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
17873
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
24720
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22183
359.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30532
494.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10109
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122762
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232287
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
17821
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25976
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4244
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
43110
512.2 IPS |
|
|
Face Detection (Q)
|
100% |
60823
722.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8468
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99172
764.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
159345
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24426
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232057
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
320169
413.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6099
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51431
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83560
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5555
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16574
285.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18440
318.7 IPS |
