MacBook Pro (16-inch, 2023)
Geekbench AI Score
4199
Single Precision Score
26895
Half Precision Score
29709
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ajoe04 |
| Upload Date | December 26 2024 02:22 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
14690
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
17763
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19442
315.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24122
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12987
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106956
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104194
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.9 IPS |
|
|
Object Detection (HP)
|
99% |
15298
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17020
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3706
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
35417
420.8 IPS |
|
|
Face Detection (Q)
|
100% |
45252
537.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6505
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88529
682.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
110597
864.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24835
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204227
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
189930
245.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5114
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41812
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48964
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3965
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4662
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3966
68.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3821
66.0 IPS |
