MacBook Pro (14-inch, 2023)
Geekbench AI Score
4110
Single Precision Score
6579
Half Precision Score
5190
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | tntoak |
| Upload Date | September 27 2024 02:55 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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% |
1366
254.0 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.2 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2967
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12668
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24052
28.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19305
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
97% |
2609
207.7 IPS |
|
|
Object Detection (Q)
|
94% |
1952
155.6 IPS |
|
|
Face Detection (SP)
|
100% |
3650
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
5856
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3392
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6248
48.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12019
92.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7877
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23876
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37312
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28256
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6705
247.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4330
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3840
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3862
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4603
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6171
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6184
106.9 IPS |
