MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11517
Single Precision Score
13320
Half Precision Score
11955
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | unknownplatform |
| Upload Date | August 31 2025 09:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
5508
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5955
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5236
977.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9187
148.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9989
161.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9557
154.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
33384
39.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
37489
43.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
36247
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
5365
425.6 IPS |
|
|
Object Detection (HP)
|
100% |
5724
454.0 IPS |
|
|
Object Detection (Q)
|
92% |
5354
427.4 IPS |
|
|
Face Detection (SP)
|
100% |
15866
188.5 IPS |
|
|
Face Detection (HP)
|
100% |
20058
238.3 IPS |
|
|
Face Detection (Q)
|
100% |
16274
193.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22292
171.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24724
190.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
22586
176.4 IPS |
|
|
Style Transfer (SP)
|
100% |
75129
96.6 IPS |
|
|
Style Transfer (HP)
|
100% |
86442
111.1 IPS |
|
|
Style Transfer (Q)
|
96% |
83433
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13137
485.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14327
529.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12196
450.3 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
4883
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4807
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4370
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4594
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3416
59.0 IPS |
