Mac16,12
Geekbench AI Score
4978
Single Precision Score
36443
Half Precision Score
50793
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 18 2025 10:12 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2112
392.8 IPS |
|
|
Image Classification (HP)
|
100% |
17488
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22856
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22319
361.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30590
495.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10066
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122534
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232854
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
18052
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25943
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4297
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
42933
510.1 IPS |
|
|
Face Detection (Q)
|
100% |
59699
709.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8572
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99203
764.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
163538
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24493
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
230003
295.7 IPS |
|
|
Style Transfer (Q)
|
96% |
319162
411.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6108
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51272
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81868
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
5785
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16471
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18166
313.9 IPS |
