Mac16,12
Geekbench AI Score
4941
Single Precision Score
36243
Half Precision Score
50751
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | March 18 2026 10:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2087
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
17308
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
23743
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22236
360.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30396
492.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10079
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122455
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232677
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
17813
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26038
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
43132
512.5 IPS |
|
|
Face Detection (Q)
|
100% |
60002
713.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8566
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99385
765.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162535
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24363
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229864
295.5 IPS |
|
|
Style Transfer (Q)
|
96% |
316901
408.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51329
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83142
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5596
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4560
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16459
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18174
314.1 IPS |
