Mac17,2
Geekbench AI Score
5329
Single Precision Score
41929
Half Precision Score
58539
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 16 2026 06:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2294
426.6 IPS |
|
|
Image Classification (HP)
|
100% |
18567
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
24530
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23948
388.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33564
544.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10988
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
176932
206.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
333149
390.5 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
18719
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26671
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4778
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46957
557.9 IPS |
|
|
Face Detection (Q)
|
100% |
66847
794.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9115
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111269
857.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
185363
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27540
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271737
349.3 IPS |
|
|
Style Transfer (Q)
|
96% |
374869
483.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63263
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101199
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6777
9.05 KIPS |
|
|
Text Classification (Q)
|
93% |
7360
9.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5057
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
18736
322.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18671
322.7 IPS |
