MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2500
Single Precision Score
16504
Half Precision Score
17853
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | morglor |
| Upload Date | August 24 2024 04:35 PM |
| Views | 2 |
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% |
1296
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
7357
1.37 KIPS |
|
|
Image Classification (Q)
|
99% |
8369
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6700
108.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6705
108.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8498
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
102541
119.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
102921
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (HP)
|
100% |
9823
779.2 IPS |
|
|
Object Detection (Q)
|
93% |
10632
848.4 IPS |
|
|
Face Detection (SP)
|
100% |
2442
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
13620
161.8 IPS |
|
|
Face Detection (Q)
|
100% |
16086
191.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4512
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
58836
453.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
63408
490.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12362
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
153546
197.4 IPS |
|
|
Style Transfer (Q)
|
100% |
152642
196.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3933
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21048
777.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26496
981.6 IPS |
|
|
Text Classification (SP)
|
100% |
596
795.2 IPS |
|
|
Text Classification (HP)
|
100% |
4245
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4672
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2748
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2780
48.0 IPS |
