Mac17,2
Geekbench AI Score
5243
Single Precision Score
40996
Half Precision Score
56203
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 07:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2254
419.2 IPS |
|
|
Image Classification (HP)
|
100% |
17931
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
23599
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24155
391.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33506
543.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10932
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178683
208.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
329089
385.7 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
100% |
18695
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
25995
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4736
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
46875
557.0 IPS |
|
|
Face Detection (Q)
|
100% |
66734
792.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9096
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110501
851.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
176616
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27480
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271850
349.5 IPS |
|
|
Style Transfer (Q)
|
96% |
373246
481.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65936
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
97687
3.61 KIPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
5781
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6005
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17270
297.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18019
311.4 IPS |
