MacBook Pro (16-inch, 2023)
Geekbench AI Score
4191
Single Precision Score
27671
Half Precision Score
31229
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
14726
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
17471
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19426
314.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24665
399.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13071
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
106174
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104213
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (HP)
|
99% |
15739
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17487
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
34518
410.1 IPS |
|
|
Face Detection (Q)
|
100% |
45176
536.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6413
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
88098
678.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
110638
864.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25007
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205514
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
191610
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5127
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41593
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50906
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4589
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5238
90.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5735
99.1 IPS |
