MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10533
Single Precision Score
12207
Half Precision Score
10739
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 19 2025 10:27 AM |
| Views | 46 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5482
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5763
1.07 KIPS |
|
|
Image Classification (Q)
|
97% |
4933
920.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6906
111.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8608
139.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8860
143.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
34836
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36718
42.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
34881
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
5487
435.2 IPS |
|
|
Object Detection (HP)
|
100% |
5849
463.9 IPS |
|
|
Object Detection (Q)
|
91% |
4979
397.8 IPS |
|
|
Face Detection (SP)
|
100% |
15963
189.7 IPS |
|
|
Face Detection (HP)
|
100% |
19439
231.0 IPS |
|
|
Face Detection (Q)
|
100% |
14572
173.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22816
175.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24466
188.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20791
162.5 IPS |
|
|
Style Transfer (SP)
|
100% |
77002
99.0 IPS |
|
|
Style Transfer (HP)
|
100% |
86467
111.2 IPS |
|
|
Style Transfer (Q)
|
96% |
81152
104.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13856
511.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14939
551.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11237
414.9 IPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4987
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4930
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2126
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1974
34.1 IPS |
