MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4056
Single Precision Score
30562
Half Precision Score
34330
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jkirinus |
| Upload Date | October 23 2025 03:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1558
289.7 IPS |
|
|
Image Classification (HP)
|
100% |
15747
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
17744
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22832
370.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28445
461.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8434
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
121414
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
120714
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.3 IPS |
|
|
Object Detection (HP)
|
100% |
16918
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
20107
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3734
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
39527
469.7 IPS |
|
|
Face Detection (Q)
|
100% |
51961
617.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7101
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96906
746.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
120008
938.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21988
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
226368
291.0 IPS |
|
|
Style Transfer (Q)
|
96% |
217448
280.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4865
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45104
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55019
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5043
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4957
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4881
84.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5020
86.8 IPS |
