MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4164
Single Precision Score
6879
Half Precision Score
6003
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | f180n4cc1 |
| Upload Date | August 16 2024 07:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.04 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% |
2792
519.1 IPS |
|
|
Image Classification (Q)
|
99% |
2792
520.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3004
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8911
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17232
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14662
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1834
145.5 IPS |
|
|
Object Detection (HP)
|
97% |
3207
255.3 IPS |
|
|
Object Detection (Q)
|
94% |
2299
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
6741
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3930
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7189
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13224
102.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
13212
102.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22416
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33476
43.0 IPS |
|
|
Style Transfer (Q)
|
100% |
33349
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5230
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5745
212.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4201
155.6 IPS |
|
|
Text Classification (SP)
|
100% |
2735
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4746
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4669
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6342
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6337
109.5 IPS |
