MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10502
Single Precision Score
12295
Half Precision Score
11297
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ludacrisvp |
| Upload Date | May 01 2025 01:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.04 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5337
992.5 IPS |
|
|
Image Classification (HP)
|
100% |
5722
1.06 KIPS |
|
|
Image Classification (Q)
|
96% |
5167
964.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8564
138.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9381
152.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9026
146.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
33145
38.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
35053
40.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34119
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
5294
420.0 IPS |
|
|
Object Detection (HP)
|
100% |
5660
449.0 IPS |
|
|
Object Detection (Q)
|
92% |
5022
400.9 IPS |
|
|
Face Detection (SP)
|
100% |
14320
170.2 IPS |
|
|
Face Detection (HP)
|
100% |
18697
222.2 IPS |
|
|
Face Detection (Q)
|
100% |
14873
176.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21401
164.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23462
180.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
21394
167.3 IPS |
|
|
Style Transfer (SP)
|
100% |
73287
94.2 IPS |
|
|
Style Transfer (HP)
|
100% |
82754
106.4 IPS |
|
|
Style Transfer (Q)
|
96% |
79634
102.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13364
493.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14529
536.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12169
449.3 IPS |
|
|
Text Classification (SP)
|
100% |
2879
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5172
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5151
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2355
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2718
46.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2669
46.1 IPS |
