Mac17,2
Geekbench AI Score
5329
Single Precision Score
43475
Half Precision Score
61076
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | redcasval |
| Upload Date | January 10 2026 07:23 AM |
| Views | 7 |
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% |
2264
421.1 IPS |
|
|
Image Classification (HP)
|
100% |
19162
3.56 KIPS |
|
|
Image Classification (Q)
|
97% |
27132
5.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24374
395.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33612
544.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11210
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
179434
209.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
337321
395.4 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.0 IPS |
|
|
Object Detection (HP)
|
100% |
20254
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
27977
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
4684
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
47855
568.6 IPS |
|
|
Face Detection (Q)
|
100% |
68825
817.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9113
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
114675
883.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
194995
1.52 KIPS |
|
|
Style Transfer (SP)
|
100% |
27175
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
275311
353.9 IPS |
|
|
Style Transfer (Q)
|
96% |
379146
489.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6062
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67647
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
108806
4.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3109
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
7472
9.97 KIPS |
|
|
Text Classification (Q)
|
93% |
7857
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5018
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
18611
320.6 IPS |
|
|
Machine Translation (Q)
|
98% |
19295
333.4 IPS |
