Mac16,12
Geekbench AI Score
4950
Single Precision Score
36159
Half Precision Score
50778
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 21 2025 09:57 AM |
| 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% |
2096
389.8 IPS |
|
|
Image Classification (HP)
|
100% |
16998
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
23894
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22345
362.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30669
497.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10052
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122359
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232691
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
17792
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25844
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4321
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
43067
511.7 IPS |
|
|
Face Detection (Q)
|
100% |
59755
710.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8608
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99167
764.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
162171
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24563
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
229737
295.3 IPS |
|
|
Style Transfer (Q)
|
96% |
318454
410.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6102
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51330
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82836
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5546
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4537
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16509
284.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18243
315.3 IPS |
