Mac17,2
Geekbench AI Score
5296
Single Precision Score
42028
Half Precision Score
58965
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | edwardhchan |
| Upload Date | February 19 2026 08:58 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
18696
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
25092
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23813
386.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33746
547.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11121
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
178519
208.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
336058
393.9 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
18740
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26849
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4799
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
46676
554.6 IPS |
|
|
Face Detection (Q)
|
100% |
67533
802.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9062
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111093
855.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
186324
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
27460
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
273062
351.0 IPS |
|
|
Style Transfer (Q)
|
96% |
375268
484.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6022
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64953
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103390
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6908
9.22 KIPS |
|
|
Text Classification (Q)
|
93% |
7202
9.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4905
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
18175
313.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18916
326.9 IPS |
