MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2507
Single Precision Score
16894
Half Precision Score
19257
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Jake3231 |
| Upload Date | September 21 2024 07:20 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 | 4.00 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1275
237.0 IPS |
|
|
Image Classification (HP)
|
100% |
7907
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
8252
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6696
108.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13012
210.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8380
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
103149
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103034
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (HP)
|
100% |
10035
796.0 IPS |
|
|
Object Detection (Q)
|
93% |
10865
866.9 IPS |
|
|
Face Detection (SP)
|
100% |
2368
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
13270
157.7 IPS |
|
|
Face Detection (Q)
|
100% |
16140
191.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4310
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
59031
454.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
70883
554.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12404
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
152877
196.5 IPS |
|
|
Style Transfer (Q)
|
96% |
142217
183.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21166
781.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26946
995.0 IPS |
|
|
Text Classification (SP)
|
100% |
739
985.9 IPS |
|
|
Text Classification (HP)
|
100% |
4818
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4740
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2202
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2831
48.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2808
48.5 IPS |
