Mac16,12
Geekbench AI Score
4989
Single Precision Score
36422
Half Precision Score
51060
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 24 2025 04:05 PM |
| Views | 6 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2117
393.7 IPS |
|
|
Image Classification (HP)
|
100% |
17159
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
22957
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22335
362.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30729
498.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122404
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232602
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
17965
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26035
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4351
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
43111
512.2 IPS |
|
|
Face Detection (Q)
|
100% |
61283
728.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8655
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99090
763.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166125
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24580
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
231353
297.4 IPS |
|
|
Style Transfer (Q)
|
96% |
319866
412.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6097
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51338
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82329
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5825
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5786
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4539
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16495
284.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18178
314.1 IPS |
