MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4046
Single Precision Score
29170
Half Precision Score
32773
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | billyfa |
| Upload Date | March 06 2026 11:27 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1554
288.9 IPS |
|
|
Image Classification (HP)
|
100% |
15715
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
16777
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1834
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22366
362.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
28345
459.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8451
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
119764
139.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
120661
141.4 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.9 IPS |
|
|
Object Detection (HP)
|
100% |
16901
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
19678
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3675
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
39378
467.9 IPS |
|
|
Face Detection (Q)
|
100% |
52162
619.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7040
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95649
736.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
119301
932.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22049
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
224984
289.2 IPS |
|
|
Style Transfer (Q)
|
96% |
216515
279.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43058
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50955
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5005
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5061
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3434
59.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3644
63.0 IPS |
