MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11807
Single Precision Score
14236
Half Precision Score
12587
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 10:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
6020
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6722
1.25 KIPS |
|
|
Image Classification (Q)
|
97% |
5651
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7580
122.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10191
165.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10664
172.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45407
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48580
56.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
45839
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6081
482.4 IPS |
|
|
Object Detection (HP)
|
100% |
6673
529.3 IPS |
|
|
Object Detection (Q)
|
91% |
5578
445.7 IPS |
|
|
Face Detection (SP)
|
100% |
16780
199.4 IPS |
|
|
Face Detection (HP)
|
100% |
21312
253.2 IPS |
|
|
Face Detection (Q)
|
100% |
16103
191.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27086
208.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
31680
244.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
25717
201.0 IPS |
|
|
Style Transfer (SP)
|
100% |
92541
119.0 IPS |
|
|
Style Transfer (HP)
|
100% |
107285
137.9 IPS |
|
|
Style Transfer (Q)
|
96% |
100073
129.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15020
554.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17202
635.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12856
474.7 IPS |
|
|
Text Classification (SP)
|
100% |
2824
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5005
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4948
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2343
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2459
42.5 IPS |
