Mac16,12
Geekbench AI Score
4928
Single Precision Score
36429
Half Precision Score
51091
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | nahid1024 |
| Upload Date | October 27 2025 06:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2089
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
17235
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
23893
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22198
359.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30467
493.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10081
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122436
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233042
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
18143
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25914
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4229
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
43096
512.1 IPS |
|
|
Face Detection (Q)
|
100% |
60113
714.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8473
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99313
765.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
165619
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24257
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232170
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
322929
416.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6106
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51612
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82832
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5649
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5619
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4539
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16717
288.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18424
318.4 IPS |
