Mac17,2
Geekbench AI Score
5106
Single Precision Score
42692
Half Precision Score
59856
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | January 23 2026 02:00 PM |
| Views | 9 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (HP)
|
100% |
18214
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
26230
4.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23955
388.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33176
537.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10167
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177600
207.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
334326
391.9 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
20434
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
27797
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4422
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
47216
561.0 IPS |
|
|
Face Detection (Q)
|
100% |
67267
799.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8956
69.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112491
866.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
194139
1.52 KIPS |
|
|
Style Transfer (SP)
|
100% |
25146
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271917
349.6 IPS |
|
|
Style Transfer (Q)
|
96% |
373163
481.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5890
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66752
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104931
3.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
7331
9.78 KIPS |
|
|
Text Classification (Q)
|
93% |
7615
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4864
83.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17975
309.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18748
324.0 IPS |
