MacBook Pro (14-inch, 2024)
Geekbench AI Score
22666
Single Precision Score
25230
Half Precision Score
22244
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | feranick |
| Upload Date | December 04 2024 05:57 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.22 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11529
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
11753
2.19 KIPS |
|
|
Image Classification (Q)
|
97% |
9630
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20252
328.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21312
345.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21761
352.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
109363
127.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
112671
131.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105866
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
9770
774.9 IPS |
|
|
Object Detection (HP)
|
100% |
10861
861.5 IPS |
|
|
Object Detection (Q)
|
91% |
9328
745.3 IPS |
|
|
Face Detection (SP)
|
100% |
41877
497.6 IPS |
|
|
Face Detection (HP)
|
100% |
44612
530.1 IPS |
|
|
Face Detection (Q)
|
100% |
32076
381.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
46328
356.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48615
374.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
40825
319.1 IPS |
|
|
Style Transfer (SP)
|
100% |
228595
293.9 IPS |
|
|
Style Transfer (HP)
|
100% |
243647
313.2 IPS |
|
|
Style Transfer (Q)
|
96% |
229057
295.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31428
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32625
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27054
999.0 IPS |
|
|
Text Classification (SP)
|
100% |
2870
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5322
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5227
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3587
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3380
58.4 IPS |
