Mac16,12
Geekbench AI Score
4957
Single Precision Score
36504
Half Precision Score
51072
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | March 18 2026 10:05 PM |
| Views | 5 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2097
390.0 IPS |
|
|
Image Classification (HP)
|
100% |
17794
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
23981
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22261
360.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30496
494.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10101
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122282
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232596
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2445
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
17795
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25697
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4291
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
43039
511.4 IPS |
|
|
Face Detection (Q)
|
100% |
59837
711.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8608
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99936
769.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162606
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24455
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
231302
297.3 IPS |
|
|
Style Transfer (Q)
|
96% |
317614
409.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51318
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82321
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3320
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5792
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5942
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16486
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18275
315.8 IPS |
