MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8997
Single Precision Score
9813
Half Precision Score
3150
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jmsolomon2000 |
| Upload Date | November 12 2024 07:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5178
962.9 IPS |
|
|
Image Classification (HP)
|
100% |
5662
1.05 KIPS |
|
|
Image Classification (Q)
|
97% |
4156
775.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6988
113.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8295
134.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8433
136.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34931
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
36845
43.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
34094
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
5402
428.5 IPS |
|
|
Object Detection (HP)
|
100% |
5545
439.8 IPS |
|
|
Object Detection (Q)
|
92% |
4435
354.0 IPS |
|
|
Face Detection (SP)
|
100% |
15040
178.7 IPS |
|
|
Face Detection (HP)
|
100% |
17732
210.7 IPS |
|
|
Face Detection (Q)
|
100% |
12734
151.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22787
175.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24768
190.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
160.9 IPS |
|
|
Style Transfer (SP)
|
100% |
76906
98.9 IPS |
|
|
Style Transfer (HP)
|
100% |
87630
112.6 IPS |
|
|
Style Transfer (Q)
|
96% |
81427
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14373
530.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14935
551.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11949
441.2 IPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
804
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1878
32.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1824
31.5 IPS |
