Mac16,12
Geekbench AI Score
9725
Single Precision Score
10960
Half Precision Score
9922
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | asnaprik |
| Upload Date | May 10 2025 08:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4650
864.8 IPS |
|
|
Image Classification (HP)
|
100% |
5004
930.6 IPS |
|
|
Image Classification (Q)
|
96% |
4690
875.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7157
116.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8083
131.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7821
126.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27674
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29898
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29102
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4690
372.0 IPS |
|
|
Object Detection (HP)
|
100% |
5218
413.9 IPS |
|
|
Object Detection (Q)
|
92% |
4752
379.3 IPS |
|
|
Face Detection (SP)
|
100% |
12553
149.2 IPS |
|
|
Face Detection (HP)
|
100% |
15907
189.0 IPS |
|
|
Face Detection (Q)
|
100% |
11914
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20659
159.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22688
174.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
21324
166.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56075
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66753
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64600
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11996
443.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13166
486.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11462
423.2 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5356
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5451
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3354
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1778
30.7 IPS |
