MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2514
Single Precision Score
16688
Half Precision Score
18939
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jmsolomon2000 |
| Upload Date | November 12 2024 07:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
7488
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
7625
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6621
107.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13037
211.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8428
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
103328
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103710
121.6 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
10040
796.4 IPS |
|
|
Object Detection (Q)
|
93% |
10601
845.9 IPS |
|
|
Face Detection (SP)
|
100% |
2385
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
13455
159.9 IPS |
|
|
Face Detection (Q)
|
100% |
15870
188.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4790
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
58993
454.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
70368
550.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12390
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
152426
195.9 IPS |
|
|
Style Transfer (Q)
|
96% |
141705
182.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4279
158.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21093
778.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27201
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
528
704.7 IPS |
|
|
Text Classification (HP)
|
100% |
4649
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4535
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2210
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2746
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2783
48.1 IPS |
