MacBook Pro (14-inch, 2023)
Geekbench AI Score
4051
Single Precision Score
23288
Half Precision Score
25764
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 05:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
15243
2.83 KIPS |
|
|
Image Classification (Q)
|
96% |
16675
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10194
165.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11277
182.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12393
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
106746
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105219
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
99% |
15447
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17288
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3278
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
31279
371.7 IPS |
|
|
Face Detection (Q)
|
100% |
44593
529.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5894
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86461
666.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109855
858.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24971
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
207155
266.3 IPS |
|
|
Style Transfer (Q)
|
96% |
191526
247.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42418
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50869
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4007
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3920
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4634
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2014
34.8 IPS |
