Mac16,12
Geekbench AI Score
4824
Single Precision Score
36487
Half Precision Score
51882
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 07:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2095
389.6 IPS |
|
|
Image Classification (HP)
|
100% |
17219
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
24113
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21952
355.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29625
480.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9995
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122779
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231229
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
18420
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26180
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
44016
523.0 IPS |
|
|
Face Detection (Q)
|
100% |
65623
779.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8601
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99551
767.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168507
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21543
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232729
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296746
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6119
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48799
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83078
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5981
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6587
8.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4426
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16438
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18199
314.5 IPS |
