Mac17,6
Geekbench AI Score
27418
Single Precision Score
44160
Half Precision Score
41351
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | heyjoegfx |
| Upload Date | March 18 2026 12:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,6 |
| Model ID | Mac17,6 |
| Motherboard | Mac17,6 |
| CPU Information | |
|---|---|
| Name | Apple M5 Max |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Max |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10401
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
13444
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
12180
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28001
453.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
42354
686.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
39262
636.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
130365
152.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
333171
388.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
289425
339.2 IPS |
|
|
Object Detection (SP)
|
100% |
10174
807.0 IPS |
|
|
Object Detection (HP)
|
100% |
15576
1.24 KIPS |
|
|
Object Detection (Q)
|
94% |
14998
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
49611
589.5 IPS |
|
|
Face Detection (HP)
|
100% |
72241
858.4 IPS |
|
|
Face Detection (Q)
|
100% |
64935
771.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
53618
413.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88287
680.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
86359
674.2 IPS |
|
|
Style Transfer (SP)
|
100% |
264520
340.0 IPS |
|
|
Style Transfer (HP)
|
100% |
549220
706.0 IPS |
|
|
Style Transfer (Q)
|
96% |
611230
788.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34807
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52366
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41913
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3009
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5673
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5670
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
8436
145.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9172
158.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8646
149.4 IPS |
