MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10601
Single Precision Score
12101
Half Precision Score
10887
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 05 2025 06:50 PM |
| Views | 3 |
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 | 2.62 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5444
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5771
1.07 KIPS |
|
|
Image Classification (Q)
|
96% |
5267
983.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9105
147.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9878
160.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9297
150.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34911
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
35780
41.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
35479
41.6 IPS |
|
|
Object Detection (SP)
|
100% |
5566
441.5 IPS |
|
|
Object Detection (HP)
|
100% |
5777
458.2 IPS |
|
|
Object Detection (Q)
|
92% |
5351
427.1 IPS |
|
|
Face Detection (SP)
|
100% |
15663
186.1 IPS |
|
|
Face Detection (HP)
|
100% |
19007
225.8 IPS |
|
|
Face Detection (Q)
|
100% |
16080
191.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23023
177.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24413
188.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
22704
177.3 IPS |
|
|
Style Transfer (SP)
|
100% |
77602
99.8 IPS |
|
|
Style Transfer (HP)
|
100% |
85442
109.8 IPS |
|
|
Style Transfer (Q)
|
96% |
82956
107.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13940
514.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14428
532.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12591
464.9 IPS |
|
|
Text Classification (SP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3753
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3746
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2209
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2662
45.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1762
30.4 IPS |
