MacBook Pro (16-inch, 2023)
Geekbench AI Score
4200
Single Precision Score
26880
Half Precision Score
30195
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | February 09 2025 01:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
14461
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
16773
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19543
316.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24690
400.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12932
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
107183
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104209
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
99% |
15286
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16844
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
35228
418.6 IPS |
|
|
Face Detection (Q)
|
100% |
45748
543.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6467
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87897
677.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109148
852.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24751
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204331
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
191889
247.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41427
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52368
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4639
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4097
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4371
75.5 IPS |
