MacBook Pro (14-inch, 2023)
Geekbench AI Score
2070
Single Precision Score
14766
Half Precision Score
15633
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | anh |
| Upload Date | August 16 2024 03:04 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1071
199.1 IPS |
|
|
Image Classification (HP)
|
100% |
8044
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
8586
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5143
83.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5163
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10399
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
92861
108.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
88612
103.9 IPS |
|
|
Object Detection (SP)
|
100% |
1058
83.9 IPS |
|
|
Object Detection (HP)
|
99% |
9474
753.6 IPS |
|
|
Object Detection (Q)
|
93% |
10067
803.3 IPS |
|
|
Face Detection (SP)
|
100% |
1792
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
11481
136.4 IPS |
|
|
Face Detection (Q)
|
100% |
13426
159.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3576
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
55780
429.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
60444
467.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12862
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
143909
185.0 IPS |
|
|
Style Transfer (Q)
|
100% |
142886
183.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2453
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20696
764.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27689
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
545
727.5 IPS |
|
|
Text Classification (HP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3556
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1925
33.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1932
33.4 IPS |
