Mac17,2
Geekbench AI Score
13527
Single Precision Score
25356
Half Precision Score
24321
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 24 2025 08:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6300
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10663
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
9898
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10158
164.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16771
271.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17205
278.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39491
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102969
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
111329
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
6450
511.6 IPS |
|
|
Object Detection (HP)
|
100% |
11660
924.9 IPS |
|
|
Object Detection (Q)
|
93% |
9981
796.3 IPS |
|
|
Face Detection (SP)
|
100% |
17966
213.5 IPS |
|
|
Face Detection (HP)
|
100% |
33539
398.5 IPS |
|
|
Face Detection (Q)
|
100% |
26448
314.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28468
219.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55671
428.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
52921
413.2 IPS |
|
|
Style Transfer (SP)
|
100% |
81093
104.2 IPS |
|
|
Style Transfer (HP)
|
100% |
190267
244.6 IPS |
|
|
Style Transfer (Q)
|
96% |
209365
270.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16241
599.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33064
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30099
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5550
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
6287
108.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7850
135.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7818
135.1 IPS |
