MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2417
Single Precision Score
16609
Half Precision Score
17722
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Zztony |
| Upload Date | August 26 2024 08:06 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
7495
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
8194
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
846
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6663
108.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
6684
108.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8478
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
104289
121.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
102192
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
9897
785.0 IPS |
|
|
Object Detection (Q)
|
93% |
10612
846.7 IPS |
|
|
Face Detection (SP)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
12982
154.3 IPS |
|
|
Face Detection (Q)
|
100% |
15734
187.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4512
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
58451
450.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
63273
489.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12274
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
152858
196.5 IPS |
|
|
Style Transfer (Q)
|
100% |
153379
197.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3490
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20989
775.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26260
972.9 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.7 IPS |
|
|
Text Classification (HP)
|
100% |
4612
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4598
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2155
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2761
47.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2791
48.2 IPS |
