MacBook Pro (16-inch, 2024)
Geekbench AI Score
5895
Single Precision Score
37245
Half Precision Score
51034
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | June 18 2025 11:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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% |
2117
393.7 IPS |
|
|
Image Classification (HP)
|
100% |
17499
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22830
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2599
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22824
370.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31448
509.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19119
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123280
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231276
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2508
198.9 IPS |
|
|
Object Detection (HP)
|
100% |
19900
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
25241
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4708
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
45580
541.6 IPS |
|
|
Face Detection (Q)
|
100% |
66546
790.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8894
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
106918
823.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
181255
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35769
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232557
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297527
383.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7115
262.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46058
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81031
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6034
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5909
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
6062
104.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16645
286.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16643
287.6 IPS |
