Mac16,12
Geekbench AI Score
4856
Single Precision Score
36864
Half Precision Score
52586
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | October 16 2025 07:20 AM |
| Views | 4 |
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% |
2096
389.9 IPS |
|
|
Image Classification (HP)
|
100% |
17377
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
27899
5.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22134
358.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30133
488.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9995
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122440
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232029
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
100% |
19562
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
26915
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4365
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
44251
525.8 IPS |
|
|
Face Detection (Q)
|
100% |
63578
755.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8766
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99043
763.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
170901
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21736
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232617
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
295062
380.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6127
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49429
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83126
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6017
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6318
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4410
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16594
285.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18295
316.2 IPS |
