MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3985
Single Precision Score
30243
Half Precision Score
34114
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | stuartcampbell |
| Upload Date | November 18 2025 11:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1469
273.3 IPS |
|
|
Image Classification (HP)
|
100% |
15694
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
18047
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22247
360.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27509
445.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8304
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
119183
139.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
119470
140.0 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
100% |
17955
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
20213
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3585
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
38825
461.3 IPS |
|
|
Face Detection (Q)
|
100% |
51491
611.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7061
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
90405
696.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
117275
916.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21744
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
219009
281.5 IPS |
|
|
Style Transfer (Q)
|
96% |
210360
271.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4896
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44983
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54780
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5112
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5071
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4848
83.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5046
87.2 IPS |
