MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4174
Single Precision Score
29938
Half Precision Score
33440
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jridder |
| Upload Date | November 09 2024 03:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1576
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
16776
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
19504
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21760
352.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27439
444.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8912
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120042
140.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
113573
133.1 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
18078
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
19801
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
3743
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
35208
418.3 IPS |
|
|
Face Detection (Q)
|
100% |
46961
558.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7244
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96758
745.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
120445
941.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22338
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
224118
288.1 IPS |
|
|
Style Transfer (Q)
|
96% |
216813
279.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5306
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44785
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53427
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2734
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4715
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4729
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4690
81.0 IPS |
