Mac17,2
Geekbench AI Score
5329
Single Precision Score
42785
Half Precision Score
59349
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | January 07 2026 04:49 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2282
424.4 IPS |
|
|
Image Classification (HP)
|
100% |
18597
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
24551
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23955
388.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33604
544.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10990
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178013
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
334494
392.0 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
18546
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
27555
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4818
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
47152
560.3 IPS |
|
|
Face Detection (Q)
|
100% |
67286
799.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9153
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111107
856.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
179017
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27553
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270953
348.3 IPS |
|
|
Style Transfer (Q)
|
96% |
374194
482.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6001
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67185
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104590
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
7986
10.7 KIPS |
|
|
Text Classification (Q)
|
93% |
7880
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
5056
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
18354
316.2 IPS |
|
|
Machine Translation (Q)
|
98% |
19195
331.7 IPS |
