MacBook Pro (14-inch, 2023)
Geekbench AI Score
4156
Single Precision Score
20936
Half Precision Score
23144
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 17 2024 01:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
13556
2.52 KIPS |
|
|
Image Classification (Q)
|
99% |
15483
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9312
151.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
9364
151.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12969
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102713
119.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
97474
114.3 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (HP)
|
99% |
13910
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
16755
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3639
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
23766
282.4 IPS |
|
|
Face Detection (Q)
|
100% |
36664
435.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6245
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73858
569.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
83579
646.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24647
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
156967
201.8 IPS |
|
|
Style Transfer (Q)
|
100% |
157359
202.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5082
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41161
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
48607
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4617
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2042
35.3 IPS |
