MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11302
Single Precision Score
12898
Half Precision Score
12099
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 22 2025 04:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G5054d) |
| 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 | 4.02 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5187
964.6 IPS |
|
|
Image Classification (HP)
|
100% |
5437
1.01 KIPS |
|
|
Image Classification (Q)
|
96% |
4989
931.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9081
147.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9827
159.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9336
151.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
34316
40.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
35639
41.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
35235
41.3 IPS |
|
|
Object Detection (SP)
|
100% |
5272
418.2 IPS |
|
|
Object Detection (HP)
|
100% |
5804
460.4 IPS |
|
|
Object Detection (Q)
|
92% |
5240
418.3 IPS |
|
|
Face Detection (SP)
|
100% |
15209
180.7 IPS |
|
|
Face Detection (HP)
|
100% |
18852
224.0 IPS |
|
|
Face Detection (Q)
|
100% |
15850
188.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22479
173.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23856
183.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
22473
175.5 IPS |
|
|
Style Transfer (SP)
|
100% |
75229
96.7 IPS |
|
|
Style Transfer (HP)
|
100% |
83741
107.6 IPS |
|
|
Style Transfer (Q)
|
96% |
81421
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13128
484.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13957
515.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12317
454.8 IPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4886
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4900
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4206
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4491
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4468
77.2 IPS |
