Mac16,5
Geekbench AI Score
21566
Single Precision Score
23247
Half Precision Score
21284
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 01 2024 06:21 AM |
| Views | 93 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9903
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
10134
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
8573
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19155
310.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19976
323.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21070
341.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
106716
124.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
109438
127.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103029
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
8975
711.9 IPS |
|
|
Object Detection (HP)
|
100% |
10002
793.3 IPS |
|
|
Object Detection (Q)
|
91% |
8634
689.9 IPS |
|
|
Face Detection (SP)
|
100% |
38663
459.4 IPS |
|
|
Face Detection (HP)
|
100% |
41853
497.3 IPS |
|
|
Face Detection (Q)
|
100% |
31024
368.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44172
340.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46002
354.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
38765
303.0 IPS |
|
|
Style Transfer (SP)
|
100% |
218354
280.7 IPS |
|
|
Style Transfer (HP)
|
100% |
236469
304.0 IPS |
|
|
Style Transfer (Q)
|
96% |
219757
283.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29498
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32010
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25574
944.3 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5341
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5300
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3674
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2673
46.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3315
57.3 IPS |
