MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11478
Single Precision Score
13708
Half Precision Score
9921
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | f180n4cc1 |
| Upload Date | August 16 2024 07:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5830
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
6459
1.20 KIPS |
|
|
Image Classification (Q)
|
99% |
5729
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7110
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9836
159.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
9615
155.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45222
52.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
48109
56.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
43542
51.0 IPS |
|
|
Object Detection (SP)
|
100% |
5880
466.4 IPS |
|
|
Object Detection (HP)
|
100% |
6409
508.4 IPS |
|
|
Object Detection (Q)
|
91% |
5172
413.3 IPS |
|
|
Face Detection (SP)
|
100% |
16468
195.7 IPS |
|
|
Face Detection (HP)
|
100% |
21193
251.8 IPS |
|
|
Face Detection (Q)
|
100% |
14694
174.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26776
206.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29675
228.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
4512
34.9 IPS |
|
|
Style Transfer (SP)
|
100% |
91019
117.0 IPS |
|
|
Style Transfer (HP)
|
100% |
104966
134.9 IPS |
|
|
Style Transfer (Q)
|
100% |
103446
133.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14673
541.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16010
591.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11263
417.3 IPS |
|
|
Text Classification (SP)
|
100% |
2733
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4771
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4733
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2239
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2038
35.2 IPS |
