MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11770
Single Precision Score
13450
Half Precision Score
12530
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | bkelly |
| Upload Date | July 01 2025 08:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
5561
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
6037
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5401
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9305
150.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9999
162.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9557
154.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
34896
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36009
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
35532
41.6 IPS |
|
|
Object Detection (SP)
|
100% |
5455
432.7 IPS |
|
|
Object Detection (HP)
|
100% |
5916
469.3 IPS |
|
|
Object Detection (Q)
|
92% |
5324
425.0 IPS |
|
|
Face Detection (SP)
|
100% |
16301
193.7 IPS |
|
|
Face Detection (HP)
|
100% |
19908
236.5 IPS |
|
|
Face Detection (Q)
|
100% |
15956
189.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22728
175.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24506
188.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
22616
176.6 IPS |
|
|
Style Transfer (SP)
|
100% |
77673
99.9 IPS |
|
|
Style Transfer (HP)
|
100% |
85362
109.7 IPS |
|
|
Style Transfer (Q)
|
96% |
83103
107.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13845
511.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14373
530.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12885
475.8 IPS |
|
|
Text Classification (SP)
|
100% |
2873
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5138
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5112
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4526
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4900
84.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4946
85.5 IPS |
