MacBook Pro (14-inch, 2024)
Geekbench AI Score
19521
Single Precision Score
21461
Half Precision Score
19407
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | drpace |
| Upload Date | December 14 2024 08:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9489
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
9493
1.77 KIPS |
|
|
Image Classification (Q)
|
97% |
8286
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16506
267.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17906
290.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18575
301.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
80792
94.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
83528
97.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
79024
92.6 IPS |
|
|
Object Detection (SP)
|
100% |
8650
686.1 IPS |
|
|
Object Detection (HP)
|
100% |
9580
759.9 IPS |
|
|
Object Detection (Q)
|
91% |
8079
645.6 IPS |
|
|
Face Detection (SP)
|
100% |
34214
406.5 IPS |
|
|
Face Detection (HP)
|
100% |
36233
430.5 IPS |
|
|
Face Detection (Q)
|
100% |
28009
332.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
42360
326.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
45033
347.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
37085
289.8 IPS |
|
|
Style Transfer (SP)
|
100% |
190562
245.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203671
261.8 IPS |
|
|
Style Transfer (Q)
|
96% |
188468
243.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27175
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
27378
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22486
830.3 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5333
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5283
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3141
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3318
57.3 IPS |
