MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
9506
Single Precision Score
11527
Half Precision Score
10136
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | luemonkey123 |
| Upload Date | December 21 2024 02:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
5750
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
5892
1.10 KIPS |
|
|
Image Classification (Q)
|
97% |
5121
955.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6788
110.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8684
140.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9021
146.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34866
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36725
42.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
34897
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
5470
433.9 IPS |
|
|
Object Detection (HP)
|
100% |
6092
483.2 IPS |
|
|
Object Detection (Q)
|
91% |
4983
398.2 IPS |
|
|
Face Detection (SP)
|
100% |
15700
186.6 IPS |
|
|
Face Detection (HP)
|
100% |
19280
229.1 IPS |
|
|
Face Detection (Q)
|
100% |
14286
169.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23189
178.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25320
195.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21208
165.8 IPS |
|
|
Style Transfer (SP)
|
100% |
76630
98.5 IPS |
|
|
Style Transfer (HP)
|
100% |
87223
112.1 IPS |
|
|
Style Transfer (Q)
|
96% |
81232
104.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14370
530.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15837
584.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11641
429.9 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4903
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4887
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1018
17.6 IPS |
