MacBook Pro (14-inch, 2023)
Geekbench AI Score
4165
Single Precision Score
26945
Half Precision Score
30173
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 02:06 PM |
| Views | 2 |
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 (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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
13793
2.56 KIPS |
|
|
Image Classification (Q)
|
96% |
16363
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19679
319.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24588
398.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13050
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
105938
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104209
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1709
135.6 IPS |
|
|
Object Detection (HP)
|
99% |
15407
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16961
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
35420
420.9 IPS |
|
|
Face Detection (Q)
|
100% |
45232
537.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6387
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87082
670.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107811
842.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24902
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204946
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
192480
248.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5108
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40859
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50629
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4420
76.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4594
79.4 IPS |
