Mac16,12
Geekbench AI Score
4743
Single Precision Score
37398
Half Precision Score
52129
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 28 2025 01:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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% |
2010
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
17681
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
27614
5.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21525
348.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30373
492.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9964
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
124248
145.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232732
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2273
180.3 IPS |
|
|
Object Detection (HP)
|
100% |
18300
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25803
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3904
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
44273
526.1 IPS |
|
|
Face Detection (Q)
|
100% |
63142
750.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99570
767.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
170204
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25245
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
231803
298.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296162
382.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5900
217.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49661
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84185
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
7347
9.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6057
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3975
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16590
285.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18128
313.3 IPS |
