Mac16,12
Geekbench AI Score
4921
Single Precision Score
36193
Half Precision Score
51193
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | January 10 2026 10:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
17283
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
24383
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21701
351.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30557
495.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122478
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232642
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.2 IPS |
|
|
Object Detection (HP)
|
100% |
18225
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25881
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4257
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
43236
513.7 IPS |
|
|
Face Detection (Q)
|
100% |
60211
715.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8487
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99341
765.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162959
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24414
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
230220
296.0 IPS |
|
|
Style Transfer (Q)
|
96% |
318818
411.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6095
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51014
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87298
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5554
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5563
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4539
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16445
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18140
313.5 IPS |
