MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4145
Single Precision Score
25157
Half Precision Score
27847
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dokidoki0802 |
| Upload Date | September 24 2024 04:57 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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% |
1576
293.1 IPS |
|
|
Image Classification (HP)
|
100% |
15699
2.92 KIPS |
|
|
Image Classification (Q)
|
99% |
17179
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17419
282.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
17468
283.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8897
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
116598
136.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
115550
135.5 IPS |
|
|
Object Detection (SP)
|
100% |
1834
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
15966
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
19411
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3697
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
25543
303.5 IPS |
|
|
Face Detection (Q)
|
100% |
40296
478.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7223
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
80319
618.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
90781
701.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22239
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
166562
214.1 IPS |
|
|
Style Transfer (Q)
|
100% |
166793
214.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5254
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46747
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54784
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4758
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4774
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2624
45.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2611
45.1 IPS |
