MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
9704
Single Precision Score
11229
Half Precision Score
9805
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | tellumo |
| Upload Date | September 20 2024 12:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
5414
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5732
1.07 KIPS |
|
|
Image Classification (Q)
|
97% |
4331
808.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6811
110.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8544
138.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8658
140.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
34798
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36748
42.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
34097
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
5471
434.0 IPS |
|
|
Object Detection (HP)
|
100% |
5829
462.3 IPS |
|
|
Object Detection (Q)
|
91% |
4692
374.9 IPS |
|
|
Face Detection (SP)
|
100% |
15773
187.4 IPS |
|
|
Face Detection (HP)
|
100% |
19221
228.4 IPS |
|
|
Face Detection (Q)
|
100% |
13908
165.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22678
174.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24433
188.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19720
154.1 IPS |
|
|
Style Transfer (SP)
|
100% |
76680
98.6 IPS |
|
|
Style Transfer (HP)
|
100% |
86266
110.9 IPS |
|
|
Style Transfer (Q)
|
96% |
80255
103.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13977
516.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14989
553.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10968
405.0 IPS |
|
|
Text Classification (SP)
|
100% |
2823
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4916
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4803
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1181
20.4 IPS |
