MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
9217
Single Precision Score
8816
Half Precision Score
8018
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tellumo |
| Upload Date | August 17 2024 04:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5192
965.6 IPS |
|
|
Image Classification (HP)
|
100% |
5440
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
4749
885.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6947
112.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8165
132.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
7884
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
34794
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36764
42.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33452
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
5267
417.8 IPS |
|
|
Object Detection (HP)
|
100% |
5541
439.5 IPS |
|
|
Object Detection (Q)
|
92% |
4431
353.7 IPS |
|
|
Face Detection (SP)
|
100% |
15042
178.7 IPS |
|
|
Face Detection (HP)
|
100% |
17825
211.8 IPS |
|
|
Face Detection (Q)
|
100% |
12808
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23036
177.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24581
189.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
24577
190.0 IPS |
|
|
Style Transfer (SP)
|
100% |
76953
98.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86281
110.9 IPS |
|
|
Style Transfer (Q)
|
100% |
85141
109.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13741
507.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14878
549.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10810
400.5 IPS |
|
|
Text Classification (SP)
|
100% |
1697
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
588
785.3 IPS |
|
|
Text Classification (Q)
|
93% |
585
785.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1168
20.2 IPS |
